Title: Computer-based outdoor sport sustainable development using wavelet neural network

Authors: Chen Shan

Addresses: College of Sports Science, Mudanjiang Normal College, Mudanjiang City, Heilongjiang 157011, China

Abstract: In order to enhance the effectiveness of the research on sustainable square dancing under the background of national fitness, this paper puts forward a research method based on wavelet neural network for the sustainable square dancing under the background of national fitness, applies the time series prediction theory of wavelet neural network into the prediction on sustainable square dancing, obtains the LF approximate part and HF approximate part in the sustainable square dancing data through wavelet decomposition and restructuring, and then based on analysing the good and bad models, selects the effective model or model combination mode to establish the prediction model for researching sustainable square dancing. Finally, it conducts model simulation by aid of the actual sustainable square dancing data, and the result shows that the model can effectively enhance the prediction precision of sustainable square dancing.

Keywords: square dancing; sustainable; wavelet analysis; neural network.

DOI: 10.1504/IJCAT.2019.102108

International Journal of Computer Applications in Technology, 2019 Vol.61 No.1/2, pp.112 - 117

Received: 25 Aug 2018
Accepted: 29 Nov 2018

Published online: 02 Sep 2019 *

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